Flatiron School is an educational institution that prepares its students to start their careers as Software Developers, Data Scientists, or UX/UI Designers. Their comprehensive courses feature the best curricula and instructors in the United States, along with career support to help students launch the tech career they want. Let’s get into Flatiron School Curriculum.
The school was founded in 2012 by Adam Enbar, a Venture Capitalist with a passion for education, and Avi Flombaum, a self-taught computer programmer committed to helping his students.
What is Flatiron School?
Starting this school, Flatiron School claims to have one mission. To create an alternative education model that provided students with the 21st-century tech skills necessary to succeed in a booming tech world, with success tied directly to getting students jobs as software engineers.
With a determined team of students and teachers, Flatiron started its journey to become one of the best bootcamps in New York City.
In 2015, they launched their online classroom with “learn.co”, their proprietary, gamified online learning platform, expanding access to their programs to people worldwide. This allows students who stay long distances or have full-time jobs to learn from their homes’ comfort.
Flatiron School Courses
On-Campus Courses
Software Engineering Immersive
The on-campus Software Engineering Immersive is Flatiron School’s flagship course, educating students to become lifelong professional software engineers. Students can reinvent their careers right here. Flatiron School promises to make students think and build like a software engineer in 15 intense weeks on-campus.
In each three-week module, students will develop critical skills that build upon one another through interactive labs, lectures, and close collaboration — shipping code and showcasing their expertise through comprehensive Portfolio Projects.
Topics Covered in Software Engineering Immersive
Programming Fundamentals
- Object-Oriented Programming
- SQL
Web Frameworks
- Ruby
- Sinatra
- Product Management
JavaScript
- JavaScript
Front-End Frameworks
- React
- Redux
Student Projects
- Group Projects
- Solo Projects
Post-Grad Career Support
- Career Support
- Alumni Community
Data Science Immersive
From Python to Machine Learning, Flatiron School’s 15-week data science training program gives them the breadth and depth needed to become a well-rounded data scientist. Students will also leave with an understanding of how to discover new techniques as their career progresses.
Every three weeks, students will be introduced to a new module that builds off the previous section’s learnings while giving them enough time to dive into each area for a thorough understanding of the subject matter.
Topics Covered in Data Science Immersive
Introduction to Data with Python and SQL
- Variables,
- Booleans and Conditionals,
- Lists,
- Dictionaries,
- Looping,
- Functions,
- Data Structures,
- Data Cleaning,
- Pandas,
- NumPy,
- Matplotlib/Seaborn for Data Visualization,
- Git/Github,
- SQL,
- Accessing Data Through APIs,
- Web Scraping
Statistics, A/B Testing, and Linear Regression
- Combinatorics,
- Probability Theory,
- Statistical Distributions,
- Bayes Theorem,
- Sampling Methods,
- Hypothesis Testing,
- A/B Testing,
- Linear Regression,
- Model Evaluation
Machine Learning
- Linear Algebra,
- Logistic Regression,
- Maximum Likelihood Estimation,
- Optimization Cost Function,
- Gradient Descent,
- K Nearest Neighbors,
- Decision Trees,
- Ensemble methods,
- Pipeline Building,
- Hyperparameter Tuning,
- Grid Search,
- Scikit-Learn
Big Data, Deep Learning, and Natural Language Processing
- Dimensionality Reduction,
- Clustering,
- Time Series Analysis,
- Neural Networks,
- Big Data,
- Natural Language Processing,
- Text Vectorization,
- Natural Language Toolkit,
- Regular Expressions,
- Word2Vec,
- Text Classification,
- Recommendation Systems
Data Science Advanced Project
- Final Project
CyberSecurity Analytics Immersive
Over 12 intense weeks at Flatiron School, the Cybersecurity Analytics curriculum will prepare students to handle rapidly-advancing threats. They learn to set traps and catch threat actors with a real-world lab environment paired with an industry-grade curriculum.
Students will learn the analytical skills needed to stand out from the competition. Their Cybersecurity Analytics program includes eight foundational courses designed to prepare students for success in the cybersecurity industry.
Topics Covered under CyberSecurity Analytics
- Network Administration
- System Administration
- Strategy and Analysis
- Security Intelligence and Event Management (SIEM) Administration
- Hunt Skills
- Threat Intelligence
- GRC (Governance, Risk, and Compliance)
- Capstone Project
CyberSecurity Engineering Immersive
Over 15 intense weeks at Flatiron School, New York City, the Cybersecurity Engineering curriculum will prepare students to jump into the cybersecurity industry. They can get fluent in cybersecurity tools like Python, Wireshark, Linux, Metasploit and learn how to use them to defend against cybercriminals. The program includes nine modules designed to fully prepare the participants for a career as a tier 1+ security engineer, technical analyst, penetration tester, or consultant.
Topics Covered under CyberSecurity Engineering
- Network Security
- System Security
- Python
- Governance, Risk, and Compliance (GRC)
- Logs and Detection
- Threat Intelligence
- Application Security
- Applied Cryptography
- Capstone
Online Program
After the onset of COVID19, all on-campus classes have shifted to online classes. Students can choose between Full-Time, Part-Time, and Self Paced classes.
Full-Time
- Career Fast Track
- Close-Knit Cohort and Group Learning
- Weekly 1:1 Mentorship and Internship
- Weekly Study Groups
Part-Time
- Part-Time Structure
- Assigned Cohort & accessible Community
- Educational coaching Support
- Weekly Study Groups
Self Paced
- Perfect for the Self Driven Student
- Access to Mentorship Resources
- Join a Connected Community
Online Software Engineering Course
Students get to launch their career as a software engineer from anywhere in the world with Flat Iron School’s flexible full-time, part-time, or self-paced online coding bootcamp. They can learn to code with support from expert instructors and dedicated Career Services to help them land a job.
Topics covered Online Software Engineering Course
Full Stack Web Development
- Programming Fundamentals
- Web Frameworks
- JavaScript
- Front-End Frameworks
Post-Grad Career Support
- Career Services
- Alumni Community
Online Data Science Course
From Python to Machine Learning, Flatiron School’s online data science training program gives students the breadth and depth needed to become a well-rounded data scientist. Students will also leave with an understanding of how to discover new techniques as their career progresses. Now, let’s continue with the Flatiron School Curriculum.
Every module introduces a new topic that builds off the previous section’s learnings while allowing them enough time to dive into each area for a thorough understanding of the subject matter.
Topics covered in the Online Data Science Course.
Introduction to Data with Python and SQL
- Variables,
- Booleans and Conditionals,
- Lists,
- Dictionaries,
- Looping,
- Functions,
- Data Structures,
- Data Cleaning,
- Pandas,
- NumPy,
- Matplotlib/Seaborn for Data Visualization,
- Git/Github,
- SQL,
- Accessing Data Through APIs,
- Web Scraping
Statistics, A/B Testing, and Linear Regression
- Combinatorics,
- Probability Theory,
- Statistical Distributions,
- Bayes Theorem,
- Sampling Methods,
- Hypothesis Testing,
- A/B Testing,
- Linear Regression,
- Model Evaluation
Machine Learning
- Linear Algebra,
- Logistic Regression,
- Maximum Likelihood Estimation,
- Optimization Cost Function,
- Gradient Descent,
- K Nearest Neighbors,
- Decision Trees,
- Ensemble methods,
- Pipeline Building,
- Hyperparameter Tuning,
- Grid Search,
- Scikit-Learn
Big Data, Deep Learning, and Natural Language Processing
- Dimensionality Reduction,
- Clustering,
- Time Series Analysis,
- Neural Networks,
- Big Data,
- Natural Language Processing,
- Text Vectorization,
- Natural Language Toolkit,
- Regular Expressions,
- Word2Vec,
- Text Classification,
- Recommendation Systems
Data Science Advanced Project
- Final Project
Online CyberSecurity Analytics Course
Whether a student enrolls in full-time or part-time online courses, the Cybersecurity Analytics curriculum will prepare them to handle rapidly-advancing threats. Students learn to set traps and catch threat actors with Flatiron School’s real-world lab environments paired with an industry-grade curriculum.
They will also learn the analytical skills needed to stand out from the competition. Flat iron school’s Cybersecurity Analytics program includes eight foundational courses designed to prepare them for success in the cybersecurity industry.
Topics covered Online CyberSecurity Analytics Course
- Network Security
- System Security
- Python
- Governance, Risk, and Compliance (GRC)
- Logs and Detection
- Threat Intelligence
- Application Security
- Applied Cryptography
- Capstone Project
That sums up the entire Flatiron School Curriculum. Students can choose their favorite course and follow the curriculum to complete their course. But due to the onset of the ongoing pandemic, Flatiron School has shifted all their on-campus classes to remote-live classes.
Flatiron Cohort Structure
On-Campus Course
A Day in the life of Flatiron School Student
9 AM – Student-led discussion
The day begins with an open discussion where students can ask questions, review new skills, and program materials from the day before to ensure that the students are up to speed.
10 AM – Lecture
Students get to learn key concepts from their instructors through interactive exercises and discussion.
1 PM – Pair-programming exercises
Around 1 PM, the students start working together with a partner to build their strategic and tactical coding skills and learn from one another.
4 PM – Labs and Mini Projects
Self-led labs let students explore their own coding projects based on the material from the lecture. Students learn from professors, then immediately put what they learned into action.
6 PM – Homework
Students will end the day reviewing concepts and strategising the next steps in their personal projects.
Online Courses
Full Time Online Courses
Morning – Lecture + Labs
Students spend their morning reviewing theory and putting information into practice with weekly hands-on labs.
Afternoon – Live Lecture
In the afternoon, students meet virtually with their cohort, instructors, and coaches. They will spend about 8 hours of their week in live lectures.
Evening – Study Time
Students end the day reviewing concepts and building the next steps for their personal projects.
Part Time Online Courses
Morning – Lecture + Labs
Students spend their morning reviewing theory and putting information into practice with weekly hands-on labs.
Evening – Live Lecture
Students meet live virtually with their cohort, instructors, and coaches to review concepts and ask questions.
Read all about the Flatiron School Review.
Final Note
So far, we have discussed the Flatiron School Curriculum. The curriculum covers most of the crucial topics needed to become a web developer, data scientist, or cybersecurity specialist. At Best Bootcamp, we feel that Flatiron School’s Curriculum covers most of the essential topics for web development, data science, and cybersecurity. Do share what you feel about this curriculum in the comments section.
